Li Meng, Chen Lingling, Zeng Jian, Razzaq Muhammad Khuram, Xu Xianchao, Xu Yufei, Wang Wubin, He Jianbo, Xing Guangnan, Gai Junyi
Soybean Research Institute, MOA National Center for Soybean Improvement, MOA Key Laboratory for Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, China.
Front Plant Sci. 2020 Dec 10;11:566056. doi: 10.3389/fpls.2020.566056. eCollection 2020.
Seed weight and shape are important agronomic traits that affect soybean quality and yield. In the present study, we used image analysis software to evaluate 100-seed weight and seed shape traits (length, width, perimeter, projection area, length/width, and weight/projection area) of 155 novel recombinant inbred soybean lines (NJRISX) generated by crossing "Su88-M21" and "XYXHD". We examined quantitative trait loci (QTLs) associated with the six traits (except seed weight per projection area), and identified 42 additive QTLs (5-8 QTLs per trait) accounting for 24.9-37.5% of the phenotypic variation (PV). Meanwhile, 2-4 epistatic QTL pairs per trait out of a total of 18 accounted for 2.5-7.2% of the PV; and unmapped minor QTLs accounted for the remaining 35.0-56.7% of the PV. A total of 28 additive and 11 epistatic QTL pairs were concentrated in nine joint QTL segments (JQSs), indicating that QTLs associated with seed weight and shape are closely related and interacted. An interaction was also detected between additive and epistatic QTL pairs and environment, which made significant contributions of 1.4-9.5% and 0.4-0.8% to the PV, respectively. We annotated 18 candidate genes in the nine JQSs, which were important for interpreting the close relationships among the six traits. These findings indicate that examining the interactions between closely related traits rather than only analyzing individual trait provides more useful insight into the genetic system of the interrelated traits for which there has been limited QTL information.
种子重量和形状是影响大豆品质和产量的重要农艺性状。在本研究中,我们使用图像分析软件评估了由“苏88-M21”和“XYXHD”杂交产生的155个新型重组自交大豆品系(NJRISX)的百粒重和种子形状性状(长度、宽度、周长、投影面积、长宽比和重量/投影面积)。我们检测了与这六个性状(除重量/投影面积外)相关的数量性状基因座(QTL),并鉴定出42个加性QTL(每个性状5-8个QTL),占表型变异(PV)的24.9-37.5%。同时,每个性状有2-4对上位性QTL,共18对,占PV的2.5-7.2%;未定位的微效QTL占PV的其余35.0-56.7%。共有28个加性QTL对和11个上位性QTL对集中在9个联合QTL区段(JQS)中,表明与种子重量和形状相关的QTL密切相关且相互作用。还检测到加性和上位性QTL对与环境之间的相互作用,分别对PV做出了1.4-9.5%和0.4-0.8%的显著贡献。我们在9个JQS中注释了18个候选基因,这些基因对于解释这六个性状之间的密切关系很重要。这些发现表明,研究密切相关性状之间的相互作用,而不是仅分析单个性状,能为QTL信息有限的相关性状的遗传系统提供更有用的见解。